PHYS 315
Computational Biology Spring 2013
Division III Quantitative/Formal Reasoning
Cross-listed INTR 315 / CSCI 315
This is not the current course catalog

Class Details

This course will provide an overview of Computational Biology, the application of computational, mathematical, and physical problem-solving techniques to interpret the rapidly expanding amount of biological data. Topics covered will include database searching, DNA sequence alignment, phylogeny reconstruction, RNA and protein structure prediction, methods of analyzing gene expression, networks, and genome assembly using techniques such as string matching, dynamic programming, suffix trees, hidden Markov models, and expectation-maximization.
The Class: Format: lecture, three hours per week; laboratory, three hours per week
Limit: 20
Expected: 10
Class#: 3220
Grading: yes pass/fail option, yes fifth course option
Requirements/Evaluation: evaluation will be based on weekly problem sets, programming assignments, and a few quizzes
Extra Info: may not be taken pass/fail
Prerequisites: programming experience (e.g., CSCI 136), mathematics (PHYS 210 or MATH 105), and physical science (PHYS 142 or 151, or CHEM 151 or 153 or 155), or permission of the instructor
Enrollment Preferences: based on seniority
Distributions: Division III Quantitative/Formal Reasoning
Notes: This course is cross-listed and the prefixes carry the following divisional credit:
PHYS 315 Division III INTR 315 Division III CSCI 315 Division III
Attributes: BGNP Recommended Courses

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